| 278 | |
| 279 | @pytest.mark.parametrize("min_count", [0, 1]) |
| 280 | def test_reduce_empty(skipna, dtype, min_count): |
| 281 | arr = pd.Series([], dtype=dtype) |
| 282 | result = arr.sum(skipna=skipna, min_count=min_count) |
| 283 | if min_count == 0: |
| 284 | assert result == "" |
| 285 | else: |
| 286 | assert pd.isna(result) |
| 287 | |
| 288 | # all-missing |
| 289 | arr = pd.Series([None, None], dtype=dtype) |
| 290 | result = arr.sum(skipna=skipna, min_count=min_count) |
| 291 | if skipna and min_count == 0: |
| 292 | assert result == "" |
| 293 | else: |
| 294 | assert pd.isna(result) |
| 295 | |
| 296 | |
| 297 | @pytest.mark.parametrize("method", ["min", "max"]) |